Own entire product surfaces from idea to impact, focusing on the end-to-end pipeline for computer vision projects. Collaborate on strategy and roadmap decisions while shipping features that reduce user friction.
Roboflow
16 Remote Job Openings at Roboflow
Own the end-to-end hiring process for go-to-market functions including Sales, Customer Success, Marketing, and Partnerships. Partner with leadership to define role requirements, build scalable recruiting systems, and attract top AI talent.
Own full-cycle recruiting across Product, Engineering, Design, and Research to hire exceptional technical talent. Partner with leadership to define success profiles, refine hiring strategies, and improve recruiting systems and tooling.
Own end-to-end product positioning and lead high-impact product launches to transition the company's narrative to a Vision AI platform. Develop buyer-facing surfaces and sales enablement materials to support complex B2B sales cycles across various industrial verticals.
Secure, scale, and maintain core infrastructure including cloud architecture, databases, and machine learning pipelines. Balance rapid delivery with high reliability and security while collaborating across product and operations teams.
Lead the 0-to-1 phase of customer deployments by building production-grade computer vision workflows and configuring edge hardware. Act as a technical bridge between customers and internal product teams to refine the Roboflow platform based on real-world field data.
Own the annual budgeting, quarterly forecasting, and long-range planning processes to drive company-wide financial strategy. Partner with department leads and the executive team to manage capital allocation and report on key SaaS operational KPIs.
Develop novel machine learning methods and contribute to the team's research agenda to improve computer vision applications. Translate research findings into scalable production systems while identifying areas for innovation.
You will own and grow a set of high-impact strategic accounts by building deep relationships across engineering and executive stakeholders. Additionally, you will lead complex technical sales cycles and drive the expansion of Vision AI use cases from pilot to production.
You will own deals from start to finish, collaborating with SDRs to qualify leads and managing multiple deals concurrently. Your role includes building relationships with prospects, closing deals efficiently, and keeping the CRM updated.
This role involves building and extending Salesforce functionality using Apex, LWC, and custom objects, while also implementing GTM workflows and automation across the broader tech stack including tools like Outreach and ZoomInfo. Key tasks include supporting custom forecasting logic, building lightweight internal tools, refining integrations, and helping design AI/LLM-powered workflows.
This role involves leading a team of Enterprise Account Executives focused on net-new logo acquisition and high-velocity expansion using a Land-and-Expand model, while ensuring rigorous team quota attainment and pipeline quality.
This role involves centralizing data engineering capabilities by owning the data platform, including stewardship of BigQuery and dbt infrastructure, while empowering organizational teams with self-service data access tooling. The engineer will define data architecture, design cost-effective GCP solutions, and establish best practices for data quality and reliability across the company.
The engineer will own security across the entire technology stack, from low-level GKE configurations to high-level application logic, focusing on building tooling and automation to prevent critical mistakes. Key duties include leading threat modeling, hardening access control, proactively probing for vulnerabilities via Red Teaming, and managing the Bug Bounty Program.
The Implementation Engineer will partner with sales and solutions architects to drive customer wins by managing project delivery, deployment, and adoption of computer vision solutions. This involves hands-on technical work combining expertise in computer vision, machine learning, and Python to solve customer pain points and ensure return on investment.
The role involves building the machinery for the growth engine, acting as the intersection of engineering, marketing, and product, and using AI to scale reach to the next 10 million developers. Key duties include designing and deploying AI-driven workflows, owning website performance and conversion paths, building technical connective tissue between tools, managing lifecycle marketing, and ensuring clear funnel analytics.
